doc/v632/rf312__multirangefit_8py.html

import ROOT


# Create 2D pdf and data

# -------------------------------------------


# Define observables x,y

x = ROOT.RooRealVar("x", "x", -10, 10)

y = ROOT.RooRealVar("y", "y", -10, 10)


# Construct the signal pdf gauss(x)*gauss(y)

mx = ROOT.RooRealVar("mx", "mx", 1, -10, 10)

my = ROOT.RooRealVar("my", "my", 1, -10, 10)


gx = ROOT.RooGaussian("gx", "gx", x, mx, 1.0)

gy = ROOT.RooGaussian("gy", "gy", y, my, 1.0)


sig = ROOT.RooProdPdf("sig", "sig", gx, gy)


# Construct the background pdf (flat in x,y)

px = ROOT.RooPolynomial("px", "px", x)

py = ROOT.RooPolynomial("py", "py", y)

bkg = ROOT.RooProdPdf("bkg", "bkg", px, py)


# Construct the composite model sig+bkg

f = ROOT.RooRealVar("f", "f", 0.0, 1.0)

model = ROOT.RooAddPdf("model", "model", [sig, bkg], [f])


# Sample 10000 events in (x,y) from the model

modelData = model.generate({x, y}, 10000)


# Define signal and sideband regions

# -------------------------------------------------------------------


# Construct the SideBand1,SideBand2, regions

#

#                    |

#      +-------------+-----------+

#      |             |           |

#      |    Side     |   Sig     |

#      |    Band1    |   nal     |

#      |             |           |

#    --+-------------+-----------+--

#      |                         |

#      |           Side          |

#      |           Band2         |

#      |                         |

#      +-------------+-----------+

#                    |


x.setRange("SB1", -10, +10)

y.setRange("SB1", -10, 0)


x.setRange("SB2", -10, 0)

y.setRange("SB2", 0, +10)


x.setRange("SIG", 0, +10)

y.setRange("SIG", 0, +10)


x.setRange("FULL", -10, +10)

y.setRange("FULL", -10, +10)


# Perform fits in individual sideband regions

# -------------------------------------------------------------------------------------


# Perform fit in SideBand1 region (ROOT.RooAddPdf coefficients will be

# interpreted in full range)

r_sb1 = model.fitTo(modelData, Range="SB1", Save=True, PrintLevel=-1)


# Perform fit in SideBand2 region (ROOT.RooAddPdf coefficients will be

# interpreted in full range)

r_sb2 = model.fitTo(modelData, Range="SB2", Save=True, PrintLevel=-1)


# Perform fits in joint sideband regions

# -----------------------------------------------------------------------------


# Now perform fit to joint 'L-shaped' sideband region 'SB1|SB2'

# (ROOT.RooAddPdf coefficients will be interpreted in full range)

r_sb12 = model.fitTo(modelData, Range="SB1,SB2", Save=True, PrintLevel=-1)


# Print results for comparison

r_sb1.Print()

r_sb2.Print()

r_sb12.Print()

TRangeDynCast
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Definition TCollection.h:358